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Issue 9, 2019
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Algorithms for the self-optimisation of chemical reactions

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Abstract

Self-optimising chemical systems have experienced a growing momentum in recent years, with the evolution of self-optimising platforms leading to their application for reaction screening and chemical synthesis. With the desire for improved process sustainability, self-optimisation provides a cheaper, faster and greener approach to the chemical development process. The use of such platforms aims to enhance the capabilities of the researcher by removing the need for labor-intensive experimentation, allowing them to focus on more challenging tasks. The establishment of these systems have enabled opportunities for self-optimising platforms to become a key element of a laboratory's repertoire. To enable the wider adoption of self-optimising chemical platforms, this review summarises the history of algorithmic usage in chemical reaction self-optimisation, detailing the functionality of the algorithms and their applications in a way that is accessible for chemists and highlights opportunities for the further exploitation of algorithms in chemical synthesis moving forward.

Graphical abstract: Algorithms for the self-optimisation of chemical reactions

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Article information


Submitted
29 May 2019
Accepted
01 Aug 2019
First published
01 Aug 2019

React. Chem. Eng., 2019,4, 1545-1554
Article type
Minireview

Algorithms for the self-optimisation of chemical reactions

A. D. Clayton, J. A. Manson, C. J. Taylor, T. W. Chamberlain, B. A. Taylor, G. Clemens and R. A. Bourne, React. Chem. Eng., 2019, 4, 1545
DOI: 10.1039/C9RE00209J

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